Fuzzy multicriteria evaluation of health research investments

Technological and Economic Development of Economy

Volumn 20, Issue 2, 2014, Pages 210-226

  Kahraman, Cengiz ^a   Süder, Aslı ^a   Kaya, İhsan ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

AHP; Fuzzy sets; Health research; Investment; Multiple criteria

Indexed keywords

EID: 84948078824     PISSN: 20294913     EISSN: 20294921     Source Type: Journal    
DOI: 10.3846/20294913.2013.876560     Document Type: Article

References (35)

1. Australian Government, 2011. The Department of Health [online], [cited 12 December 2011]. Available from Internet: www. health. gov. au/internet/main/publishing. nsf/content/404ref. htm.
2. Baležentis, A.; Baležentis, T.; Misiunas, A. 2012. An integrated assessment of Lithuanian economic sectors based on financial ratios and fuzzy MCDM methods, Technological and Economic Development of Economy 18(1): 34-53. http://dx. doi. org/10. 3846/20294913. 2012. 656151.
3. Bardossy, A.; Bogardi, I.; Duckstein, L. 1991. Fuzzy set and probabilistic techniques for health-risk analysis, Applied Mathematics and Computation 45(3): 241-268. http://dx. doi. org/10. 1016/0096-3003(91)90083-Y.
4. Bruce, N.; Pope, D.; Stanistreet, D. 2008. Quantitative methods for health research: a practical interactive guide to epidemiology and statistics. John Wiley and Sons. 554 p. http://dx. doi. org/10. 1002/9780470725337.
5. Buckley, J. J. 1985. Fuzzy hierarchical analysis, Fuzzy Sets and Systems 17(3): 233-247. http://dx. doi. org/10. 1016/0165-0114(85)90090-9.
6. Chang, D. Y. 1996. Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research 95(3): 649-655. http://dx. doi. org/10. 1016/0377-2217(95)00300-2.
7. Dieppe, P. 2005. Research on health and health care, in Handbook of Health Research Methods: Investigation, Measurement and Analysis. New York: McGraw-Hill, 3-11.
8. Doblhoff-Dier, O.; Collins, C. H. 2001. Biosafety: future priorities for research in health care, Journal of Biotechnology 85(2): 227-239. http://dx. doi. org/10. 1016/S0168-1656(00)00362-X.
9. Green, J.; Thorogood, N. 2004. Qualitative methods for health research. London: SAGE Publications.
10. Han, Z.; Liu, P. D. 2011. A fuzzy multi-attribute decision-making method under risk with unknown attribute weights, Technological and Economic Development of Economy 17(2): 246-258. http://dx. doi. org/10. 3846/20294913. 2011. 580575.
11. Hsieh, T. Y.; Lu, S. T.; Tzeng, G. H. 2004. Fuzzy MCDM approach for planning and design tenders selection in public office buildings, International Journal of Project Management 22(7): 573-584. http://dx. doi. org/10. 1016/j. ijproman. 2004. 01. 002.
12. Kahraman, C.; Beskese, A.; Ruan, D. 2004. Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis, Information Sciences 168(1-4): 77-94. http://dx. doi. org/10. 1016/j. ins. 2003. 11. 004.
13. Kahraman, C.; Kaya, İ. 2010. Investment analyses using fuzzy probability concept, Technological and Economic Development of Economy 16(1): 43-57. http://dx. doi. org/10. 3846/tede. 2010. 03.
14. Kaya, T.; Kahraman, C. 2011. A fuzzy approach to e-banking website quality assessment based on an integrated AHP-ELECTRE method, Technological and Economic Development of Economy 17(2): 313-334. http://dx. doi. org/10. 3846/20294913. 2011. 583727.
15. Keršulienė, V.; Turskis, Z. 2011. Integrated fuzzy multiple criteria decision making model for architect selection, Technological and Economic Development of Economy 17(4): 645-666. http://dx. doi. org/10. 3846/20294913. 2011. 635718.
16. Laarhoven, P. J. M.; Pedrycz, W. 1983. A fuzzy extension of Saaty's priority theory, Fuzzy Set Systems 11: 229-241.
17. Liou, T. S.; Wang, M. J. 1992. Ranking fuzzy numbers with integral value, Fuzzy Sets and Systems 50(3): 247-255. http://dx. doi. org/10. 1016/0165-0114(92)90223-Q.
18. Liu, P. D. 2009. A novel method for hybrid multiple attribute decision making, Knowledge-Based Systems 22(5): 388-391. http://dx. doi. org/10. 1016/j. knosys. 2009. 02. 001.
19. Liu, P. D.; Zhang, X. 2010. The study on multi-attribute decision-making with risk based on linguistic variable, International Journal of Computational Intelligence Systems 3(5): 601-609.
20. Liu, P. D. 2011. A weighted aggregation operators multi-attribute group decision-making method based on interval-valued trapezoidal fuzzy numbers, Expert Systems with Applications 38(1): 1053-1060. http://dx. doi. org/10. 1016/j. eswa. 2010. 07. 144.
21. Liu, P. D.; Jin, F.; Zhang, X.; Su, Y.; Wang, M. 2011. Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables, Knowledge-Based Systems 24(4): 554-561. http://dx. doi. org/10. 1016/j. knosys. 2011. 01. 010.
22. Liu, P. D.; Jin, F. 2012a. A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers, Applied Mathematical Modelling 36(6): 2498-2509. http://dx. doi. org/10. 1016/j. apm. 2011. 09. 006.
23. Liu, P. D.; Jin, F. 2012b. Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making, Information Sciences 205: 58-71. http://dx. doi. org/10. 1016/j. ins. 2012. 04. 014.
24. Maclachlan, J. C.; Jerrett, M.; Abernathy, T.; Sears, M.; Bunch, M. J. 2007. Mapping health on the internet: a new tool for environmental justice and public health research, Health & Place 13(1): 72-86. http://dx. doi. org/10. 1016/j. healthplace. 2005. 09. 012.
25. Mosmans, A.; Praet, J.-C.; Dumont, C. 2002. A decision support system for the budgeting of the Belgian health care system, European Journal of Operational Research 139(2): 449-460. http://dx. doi. org/10. 1016/S0377-2217(01)00369-1.
26. Mukherjee, A.; McGinnis, J. 2007. E-healthcare: an analysis of key themes in research, International Journal of Pharmaceutical and Healthcare Marketing 1(4): 349-363. http://dx. doi. org/10. 1108/17506120710840170.
27. Nobre, F. F.; Trotta, L. T. F.; Gomes, L. F. A. M. 1999. Multi-criteria decision making-an approach to setting priorities in health care, Statistics in Medicine 18(23): 3345-3354. http://dx. doi. org/10. 1002/(SICI)1097-0258(19991215)18: 23<3345:: AID-SIM321>3. 0. CO; 2-7.
28. Ozawa, J. K.; Franco, Q. C. 2007. The role of government in health research, Comprehensive Medicinal Chemistry II 1(24): 725-753. http://dx. doi. org/10. 1016/B0-08-045044-X/00027-4.
29. Shaw, S. E.; Greenhalgh, T. 2008. Best research-for what? Best health-for whom? A critical exploration of primary care research using discourse analysis, Social Science & Medicine 66(12): 2506-2519. http://dx. doi. org/10. 1016/j. socscimed. 2008. 02. 014.
30. Ucal, I.; Kahraman, C. 2009. Fuzzy real options valuation for oil investments, Technological and Economic Development of Economy 15(4): 646-669. http://dx. doi. org/10. 3846/1392-8619. 2009. 15. 646-669.
31. UKCRC. 2009. UK clinical research collaboration [online], [cited 22 December 2011]. Available from Internet: www. ukcrc. org.
32. Vahidnia, M. H.; Alesheikh, A. A.; Alimohammadi, A. 2009. Hospital site selection using fuzzy AHP and its derivatives, Journal of Environmental Management 90(10): 3048-3056. http://dx. doi. org/10. 1016/j. jenvman. 2009. 04. 010.
33. Ware, J. E.; Davies-Very, A.; Stewart, A. L. 1977. The measurement and meaning of patient satisfaction: a review of the literature, RAND Publication (P-6021), Santa Monica, CA.
34. World Health Organization. 2008. Priority setting methodologies in health research. Geneva, Switzerland.
35. Wunsch, H.; Harrison, D. A.; Rowan, K. 2005. Health services research in critical care using administrative data, Journal of Critical Care 20(3): 264-269. http://dx. doi. org/10. 1016/j. jcrc. 2005. 08. 002.